Amongst only few public datasets captured by camera-equipped UAVs, VisDrone2019 [1]} stands out as one of the largest, most diverse and carefully annotated benchmark datasets. VisDrone2019 was provided by AISKEYE team at the Lab of Machine Learning and Data Mining in Tianjin University, China and was designed for multiple tasks with over 10 different object classes (people, pedestrian, car, van, truck, ...). With over 8,000 images, VisDrone2019 images were captured from different altitudes and angles and under diverse circumstances, namely night, rain, lens flare, and motion blur. Besides, the captured images vary in size from 480 x 360 up to 2000 x 1500.
